Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis

Meseery, Maha El; Hoeber, Orland

doi:10.1007/978-3-319-24282-8_7

Cited by 2 publications

(2 citation statements)

References 83 publications

(190 reference statements)

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“…In cases where the multiple datasets contain many different attributes, parallel coordinates have shown potential for filtering the data and choosing which aspects to show in geovisualization. 42,16 When the geospatial data represent the movement of entities through space and time, new complexities are introduced in the representation and analysis of such data. 2,17,18 While flow lines can support the interpretation of the movement paths, simultaneously representing the data from many entities often results in a visually complex display that is difficult to decode.…”

Section: Related Workmentioning

confidence: 99%

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A geovisual analytics approach for analyzing event-based geospatial anomalies within movement data

Hoeber

Hasan

2017

Information Visualization

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Comparing data collected on the movement of an entity to data on the location where the entity was reported to have been can be useful in monitoring and enforcement situations. Anomalies between these datasets may be indicative of illegal activity, systematic reporting errors, data entry errors, or equipment failure. While finding obvious anomalies may be a simple task, the discovery of more subtle inconsistencies can be challenging when there is a mismatch in the temporal granularity between the datasets, or when they cover large temporal and geographic ranges. We have developed a geovisual analytics approach called Visual Exploration of Movement-Event Anomalies (VEMEA) that automatically extracts potential anomalies from the data, visually encodes these on a map, and provides interactive filtering and exploration tools to allow expert analysts to investigate and evaluate the anomalies. Using two case studies from the fisheries enforcement domain, the value of VEMEA is illustrated for both confirmatory and exploratory data analysis tasks. Field trial evaluations conducted with expert fisheries data analysts further support the benefits of the approach.

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